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Visual Analytics in Mobility, Transportation and Logistics

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ICTE in Transportation and Logistics 2019 (ICTE ToL 2019)

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Abstract

Mobility, transportation and logistics are more and more influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans’ mobility behavior. These indicators will lead to massive changes in our daily live with regards to mobility, transportation and logistics. New technologies will lead to a different mobility behavior with new constraints. These changes in mobility behavior and logistics require analytical systems to forecast the required information and probably appearing changes. These systems have to consider different perspectives and employ multiple indicators. Visual Analytics provides both, the analytical approaches by including machine learning approaches and interactive visualizations to enable such analytical tasks. In this paper the main indicators for Visual Analytics in the domain of mobility transportation and logistics are discussed and followed by exemplary case studies to illustrate the advantages of such systems. The examples are aimed to demonstrate the benefits of Visual Analytics in mobility.

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Acknowledgements

This work was partially funded by the Hessen State Ministry for Higher Education, Research and the Arts within the program “Forschung für die Praxis” and was conducted within the research group on Human-Computer Interaction and Visual Analytics (https://vis.h-da.de). The authors would like to thank the students Svenja Lehmann and Walter Oster for their implementation contributions.

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Authors and Affiliations

  1. Darmstadt University of Applied Sciences, Haardtring 100, 64295, Darmstadt, Germany

    Kawa Nazemi, Dirk Burkhardt & Lukas Kaupp

  2. Wiesbaden University of Applied Sciences, Kurt-Schumacher-Ring 18, 65197, Wiesbaden, Germany

    Till Dannewald & Matthias Kowald

  3. Riga Technical University, Kalku Street 1, Riga, 1658, Latvia

    Egils Ginters

Authors
  1. Kawa Nazemi
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  2. Dirk Burkhardt
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  3. Lukas Kaupp
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  4. Till Dannewald
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  5. Matthias Kowald
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  6. Egils Ginters
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Corresponding author

Correspondence to Kawa Nazemi .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technologies, Department of Modelling and Simulation, Riga Technical University, Riga, Latvia

    Egils Ginters

  2. Faculty of Economics and Administration, University of Malaya, Kuala Lumpur, Malaysia

    Mario Arturo Ruiz Estrada

  3. Department of Telecommunications and Systems Engineering, Autonomous University of Barcelona, Bellaterra, Barcelona, Spain

    Miquel Angel Piera Eroles

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Nazemi, K., Burkhardt, D., Kaupp, L., Dannewald, T., Kowald, M., Ginters, E. (2020). Visual Analytics in Mobility, Transportation and Logistics. In: Ginters, E., Ruiz Estrada, M., Piera Eroles, M. (eds) ICTE in Transportation and Logistics 2019. ICTE ToL 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-39688-6_12

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  • DOI: https://doi.org/10.1007/978-3-030-39688-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39687-9

  • Online ISBN: 978-3-030-39688-6

  • eBook Packages: EngineeringEngineering (R0)

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